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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2024-02-20 12:45 |
Hokkaido | Hokkaido Univ. | 3D CG Coded Image Noise Removal and Quality Assessment Based on Optimal Design of Total Variation Regularization Norifumi Kawabata (Kanazawa Gakuin Univ.)  ITS2023-67 IE2023-56 |
Sparse coding techniques, which reproduce and represent images with as few combinations as possible from a small amount ... [more] | ITS2023-67 IE2023-56 pp.112-117 |
| IMQ, IE, MVE, CQ (Joint) [detail] |
2023-03-16 13:10 |
Okinawa | Okinawaken Seinenkaikan (Naha-shi) (Primary: On-site, Secondary: Online) |
[Special Talk]
Group Sparse/Low-rank Modeling for Multidimensional Signal Recovery Seisuke Kyochi (Kogakuin Univ.) IMQ2022-52 CQ2022-93 IE2022-129 MVE2022-82 |
Group sparse/low-rank modeling based on the ℓ1 norm and nuclear norm has been successfully applied to signal processing... [more] |
IMQ2022-52 CQ2022-93 IE2022-129 MVE2022-82 pp.156-161(IMQ), pp.64-69(CQ), pp.156-161(IE), pp.156-161(MVE) |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2022-06-27 17:25 |
Okinawa | (Primary: On-site, Secondary: Online) |
Additive Cumulative Link Model with Total Variation Regularization Hiroya Iyori, Shin Matsushima (Univ. of Tokyo) NC2022-8 IBISML2022-8 |
In many fields such as medical research and social science, data on an ordinal scale are often obtained. Problems in wh... [more] |
NC2022-8 IBISML2022-8 pp.69-75 |
| EA, SIP, SP, IPSJ-SLP [detail] | 2022-03-01 09:20 |
Okinawa | (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Hyperspectral Image Denoising by Graph Spatio-Spectral Total Variation Minimization Shingo Takemoto, Kazuki Naganuma, Shunsuke Ono (Tokyo Tech) EA2021-70 SIP2021-97 SP2021-55 |
We propose a novel denoising method for hyperspectral images (HSI) based on the Graph Spatio-Spectral Total Variation (G... [more] | EA2021-70 SIP2021-97 SP2021-55 pp.38-43 |
| IPSJ-AVM, CS, IE, ITE-BCT [detail] | 2021-11-25 11:15 |
Online | Online | CS2021-62 IE2021-21 |
A light field (LF) image is composed of multi-view images acquired by slightly offset viewpoints. We propose a novel met... [more] | CS2021-62 IE2021-21 pp.13-18 |
| CAS, SIP, MSS, VLD | 2018-06-14 14:10 |
Hokkaido | Hokkaido Univ. (Frontier Research in Applied Sciences Build.) | A Study on Reflection Removal Using Depth Map Toshihiro Shibata, Yuji Akai, Ryo Matsuoka (Kagawa Univ.) CAS2018-8 VLD2018-11 SIP2018-28 MSS2018-8 |
In this paper, we propose a novel reflection removal method for RGB-D images that achieves reflection removal and depth ... [more] | CAS2018-8 VLD2018-11 SIP2018-28 MSS2018-8 pp.39-43 |
| IE | 2017-06-29 14:15 |
Okinawa | IE2017-27 |
(To be available after the conference date) [more] | IE2017-27 pp.13-18 |
|
| PRMU, IE, MI, SIP | 2016-05-19 15:10 |
Aichi | High accuracy reconstruction algorithm for CS-MRI using SDMM Motoi Shibata, Norihito Inamuro, Takashi Ijiri, Akira Hirabayashi (Ritsumeikan Univ.) SIP2016-12 IE2016-12 PRMU2016-12 MI2016-12 |
We propose a high accuracy magnetic resonance imaging (MRI) reconstruction algorithm from compressively sampled measurem... [more] | SIP2016-12 IE2016-12 PRMU2016-12 MI2016-12 pp.59-64 |
|
| MI | 2015-03-03 10:58 |
Okinawa | Hotel Miyahira | Total variation regularization of diffusion weighted images for reducing noise of diffusional kurtosis MRI Yuuki Nakamura, Hirokuni Okada, Masahito Aoyama, Yoshitaka Masutani (Hiroshima City Univ.) MI2014-96 |
Diffusional kurtosis imaging (DKI) is an MR imaging method for quantifying non-Gaussianity of water molecule based on a ... [more] | MI2014-96 pp.205-208 |
| IBISML | 2014-03-07 11:10 |
Nara | Nara Women's University | Blind Separation of Sparse and Smooth Signals via Approximate Message Passing Algorithm Shigeki Yokoyama, Toshiyuki Tanaka (Kyoto Univ.) IBISML2013-76 |
We consider the problem to recover source signals from noisy mixed ones. This can be described as a matrix reconstructio... [more] | IBISML2013-76 pp.71-78 |
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